Research on intelligent early warning technology for natural disasters of transmission lines based on 5G and artificial intelligence

In the application process of the existing intelligent disaster early warning technology, the problem of fuzzy current distribution characteristics leads to the short battery life of the tower terminal. This paper designs an intelligent early warning technology for natural disasters of transmission lines based on 5G and artificial intelligence. The catastrophe prediction results as auxiliary indexes in early warning, establishing database of transmission line of natural disasters, with the method of monitoring the fault current, setting axis path transmission lines, detection and separation of moving targets, using 5 g and artificial intelligence technology to extract the characteristics of current distribution, according to the values of worshiping information, building intelligent early warning model of transmission line natural disasters. Experimental results: The battery life of the pole and tower terminal of the intelligent early warning technology designed this time is 11.88h and 12.56h longer than the other two existing early warning technologies respectively, proving that the practical application effect of the intelligent early warning technology of transmission line integrating 5G and artificial intelligence is better.